PSYB01H3 Chapter Notes - Chapter 5: Simple Random Sample, Stratified Sampling, Nth Metal
Document Summary
Sampling: the selection of individuals or other entities to represent a larger population. Census: to study the entire population of interest. Better to survey a limited number so there are more resources for follow-up procedures. Sampling distributions for many statistics have a normal shape. Random sampling error: variation owing purely to chance. Sample statistic: value of a statistic such as a mean, computed from sample data. Population parameter: value of a statistic computed using the data for an entire population. Sample statistic is an estimate of a population parameter. Probability sampling methods: probability of selection is known and is not zero. Non-probability sampling methods: sampling methods that do not let us know in advance the likelihood of selecting each element. Probability of selection: likelihood that an element will be selected from the population for inclusion in the sample. These methods have no systematic bias (nothing but chance determines which elements are included in the sample)
